Residential Secure Income plc (RESI) Fair Value & Analysis
Real Estate · GB · Market cap 97.4M GBX
Fair value as of: Jun 26, 2026
Analysis
Residential Secure Income plc (RESI) currently trades at p0.5660, while our model-based Fair Value estimate is p1.42 — implying the stock looks roughly 150.9% undervalued today. We read business quality at 95/100 (high quality), in the Real Estate sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
Residential Secure Income plc is a real estate investment trust (REIT) focused on delivering secure, inflation-linked returns. With a focus on two residential sub-sectors in UK residential - independent retirement rentals and shared ownership - underpinned by an ageing demographic and untapped and strong demand for affordable home ownership. ReSI plc's purpose is to deliver affordable, high-quality, safe homes with great customer service and long-term stability of tenure for residents. We achieve this through meeting demand from housing developers, housing associations, local authorities, and private developers for long-term investment partners to accelerate the development of socially and economically beneficial affordable housing. ReSI plc's subsidiary, ReSI Housing Limited, is registered as a for-profit Registered Provider of social housing and so provides a unique proposition to its housing developer partners, being a long-term private sector landlord within the social housing r…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.